Training Universal Vocoders with Feature Smoothing-Based Augmentation Methods for High-Quality TTS Systems
While universal vocoders have achieved proficient waveform generation across diverse voices, their integration into text-to-speech (TTS) tasks often results in degraded synthetic quality. To address this challenge, we present a novel augmentation technique for training universal vocoders. Our traini...
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Veröffentlicht in: | arXiv.org 2024-09 |
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Sprache: | eng |
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